Kubernetes in the Google Cloud

10 Labs
·
68 Credits
·
10h 25m

Service Area (Advanced)

In this Quest, students will get hands-on experience from introductory Docker tools through using Kubernetes to manage application packaging and launch, through sophisticated Continuous Delivery deployment management scenarios.

In this lab you will familiarize yourself with the basic Docker container environment commands. You will create, run, and debug containers, and learn to pull and push images to and from Google Container Registry.

In this hands-on lab, you'll learn how to turn your code into a replicated application running on Kubernetes. You'll create a Node.js app, create a Docker container from it, deploy it to Kubernetes Engine, and scale it up.

In this lab you will learn how to: Provision a complete Kubernetes cluster using Google Container Engine; Deploy and manage Docker containers using kubectl; and Break an application into microservices using Kubernetes’ Deployments and Services.

Dev Ops best practices make use of multiple deployments to manage application deployment scenarios. This lab provides practice in scaling and managing containers to accomplish common scenarios where multiple heterogeneous deployments are used.

Containers are becoming a popular way to run and scale applications across multiple cloud providers or on both cloud and on-premise hardware. This lab provides a quick introduction to running a MongoDB database on Kubernetes Engine using Docker.

Hands-on lab for creating a private cluster in the cloud environment. In a private cluster, nodes do not have public IP addresses, so your workloads run in an environment that is isolated from the Internet.

This lab will NOT run in Europe or South America compute zones. Helm is a toolset for managing Kubernetes packages. In this lab you install the Helm server and client, install mysql via a chart, and test the installed mysql app.